PUBLICATION

Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality

Authors
Torigoe, M., Islam, T., Kakinuma, H., Fung, C.C.A., Isomura, T., Shimazaki, H., Aoki, T., Fukai, T., Okamoto, H.
ID
ZDB-PUB-211001-1
Date
2021
Source
Nature communications   12: 5712 (Journal)
Registered Authors
Aoki, Tazu, Islam, Tanvir, Kakinuma, Hisaya, Okamoto, Hitoshi
Keywords
none
MeSH Terms
  • Animals
  • Avoidance Learning/physiology*
  • Behavior, Animal/physiology*
  • Intravital Microscopy
  • Microscopy, Fluorescence, Multiphoton
  • Neocortex/cytology
  • Neocortex/physiology*
  • Neural Networks, Computer
  • Neurons/physiology
  • Photic Stimulation/methods
  • Reward*
  • Stereotaxic Techniques
  • Virtual Reality
  • Zebrafish/physiology*
PubMed
34588436 Full text @ Nat. Commun.
Abstract
Animals make decisions under the principle of reward value maximization and surprise minimization. It is still unclear how these principles are represented in the brain and are reflected in behavior. We addressed this question using a closed-loop virtual reality system to train adult zebrafish for active avoidance. Analysis of the neural activity of the dorsal pallium during training revealed neural ensembles assigning rules to the colors of the surrounding walls. Additionally, one third of fish generated another ensemble that becomes activated only when the real perceived scenery shows discrepancy from the predicted favorable scenery. The fish with the latter ensemble escape more efficiently than the fish with the former ensembles alone, even though both fish have successfully learned to escape, consistent with the hypothesis that the latter ensemble guides zebrafish to take action to minimize this prediction error. Our results suggest that zebrafish can use both principles of goal-directed behavior, but with different behavioral consequences depending on the repertoire of the adopted principles.
Genes / Markers
Figures
Show all Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping